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Google ProprietarySep 2025

Gemini 2.5 Pro

2M-token context + native multimodality — unbeatable for huge docs.

Intelligence index
78/ 100
vs all models86th pctile
Composite of MMLU, GPQA, MATH & HumanEval
Speed
110tok/s
vs all models59th pctile
Median across providers, steady state
Blended price
$2.19/ 1M tokens
vs all models50th pctile
3:1 input:output blend

At a glance

Context window
2M tokens
Max output
66k tokens
Input price
$1.25 / 1M tokens
Output price
$5.00 / 1M tokens
Time to first token
0.7s
Input modalities
text, image, audio, video
Output modalities
text
License
Proprietary
Provider
Google

Benchmark scores

Public scores from each provider; bars compare this model against the leader in each benchmark.

MMLU
General knowledge across 57 subjects
89.5
leader: 91.8
MMLU Pro
Harder MMLU successor with more reasoning
78.5
leader: 80.0
GPQA
Graduate-level science Q&A
66.0
leader: 78.0
MATH
Competition mathematics
91.0
leader: 94.8
HumanEval
Python code generation pass@1
91.5
leader: 95.8
Strengths
  • 2M context
  • Native video understanding
  • Strong on math
Weaknesses
  • Output ceiling lower than competitors
Best for
  • Whole-codebase analysis
  • Long-doc workflows
  • Video QA

Gemini 2.5 Pro vs… popular head-to-heads

One-click matchups against the models people compare Gemini 2.5 Pro with most.

Gemini 2.5 Pro — frequently asked questions

Gemini 2.5 Pro is a large language model from Google, released on 15 September 2025. 2M-token context + native multimodality — unbeatable for huge docs.

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Compare every option in one sortable table — intelligence, speed and price on a single page.